Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41192

Material Intelligence: Cross-Organizational Collaboration Driven by Detailed Material Data

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Item Summary

Title: Material Intelligence: Cross-Organizational Collaboration Driven by Detailed Material Data
Authors: Hakanen, Esko
Eloranta, Ville
Töytäri, Pekka
Rajala, Risto
Turunen, Taija
Keywords: cross-organizational collaboration
intelligent materials
internet of things
material intelligence
structural holes
Issue Date: 04 Jan 2017
Abstract: The application of the Internet of Things (IoT) technologies has the potential to reshape inter-organizational collaboration across industries. This study explores the influences of the use of IoT for information sharing in the steel industry networks. Shared data may have multiple uses, including optimization, integration, automatization, and adaptation of objects in their environments. Our study indicates that increase in the information intensity of products and processes changes the nature of competition in the industry. To date, research on IoT has mainly proposed its use in independent nodes and clusters possessing excessive data from their own actions. Conversely, our study emphasizes the benefits that accrue from intensified collaboration. Our findings emphasize that IoT enabled material intelligence can restructure companies’ roles and responsibilities in the steel industry supply networks. This can be achieved by bridging the structural holes in the inter-organizational networks.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41192
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.043
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Cross-Organizational and Cross- Border IS/IT Collaboration Minitrack



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